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Abstract #2580

Parallel Imaging Using Virtual Conjugate Coils and Spatial Nulling Maps (VCC-SNMs)

Jiahao Hu1,2,3, Yujiao Zhao1,2, Vick Lau1,2, Shi Su1,2, Ye Ding1,2, Junhao Zhang1,2, Christopher Man1,2, Alex T. L. Leong1,2, Fei Chen3, and Ed X. Wu1,2
1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China, 3Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

Synopsis

Keywords: Parallel Imaging, Modelling

Motivation: One of the key challenges in parallel imaging (PI) reconstruction is the amplification of noise. Effectively minimizing the noise is essential for achieving high-quality images.

Goal(s): Implementation of highly robust and efficient PI reconstruction method with reduced noise amplification.

Approach: The recent SNMs method has shown its robustness and efficiency as one hybrid-domain PI reconstruction method. Phase constraint was incorporated in the SNMs method by employing virtual conjugate coils (VCC-SNMs).

Results: The VCC-SNMs method was successfully developed in the study, and it was shown to be effective in achieving less amplified noise, in comparison with VCC-GRAPPA, VCC-ESPIRiT, and the original SNMs method.

Impact: A VCC-SNMs method leveraging the priori knowledge of the image phase constraint was successfully implemented for efficient and robust parallel imaging reconstruction with reduced noise amplification.

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Keywords